




"""simple docstring"""





import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase=True					,							UpperCamelCase="pt"				)      ->      List[Any]:


			"""simple docstring"""
			__UpperCAmelCase						:			List[Any]												=       {"add_prefix_space": True} if isinstance(UpperCamelCase					,							UpperCamelCase				) and not line.startswith(" "				) else {}
			__UpperCAmelCase						:			str												=       padding_side
			return tokenizer(
			    [line]					,							max_length=UpperCamelCase					,							padding="max_length" if pad_to_max_length else None					,							truncation=UpperCamelCase					,							return_tensors=UpperCamelCase					,							add_special_tokens=UpperCamelCase					,							**UpperCamelCase					,							)

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase=None					,							)      ->      int:


			"""simple docstring"""
			__UpperCAmelCase						:			Any												=       input_ids.ne(UpperCamelCase				).any(dim=0				)
			if attention_mask is None:
						return input_ids[:, keep_column_mask]
			else:
						return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])



class   a__					(						__magic_name__ ):


			def __init__(   self   :     Tuple   ,	UpperCamelCase_   :     str   ,	UpperCamelCase_   :     List[str]   ,	UpperCamelCase_   :     Any   ,	UpperCamelCase_   :     Any   ,	UpperCamelCase_   :     Union[str, Any]="train"   ,	UpperCamelCase_   :     Any=None   ,	UpperCamelCase_   :     List[Any]=None   ,	UpperCamelCase_   :     Optional[int]=None   ,	UpperCamelCase_   :     Optional[int]=""   ,	):


						"""simple docstring"""




						super().__init__()
						__UpperCAmelCase						:			List[Any]												=       Path(UpperCamelCase_).joinpath(type_path + ".source")
						__UpperCAmelCase						:			List[str]												=       Path(UpperCamelCase_).joinpath(type_path + ".target")
						__UpperCAmelCase						:			int												=       self.get_char_lens(self.src_file)
						__UpperCAmelCase						:			Optional[int]												=       max_source_length
						__UpperCAmelCase						:			Dict												=       max_target_length
						assert min(self.src_lens) > 0, F"found empty line in {self.src_file}"
						__UpperCAmelCase						:			str												=       tokenizer
						__UpperCAmelCase						:			Optional[int]												=       prefix
						if n_obs is not None:
									__UpperCAmelCase						:			List[str]												=       self.src_lens[:n_obs]
						__UpperCAmelCase						:			Any												=       src_lang
						__UpperCAmelCase						:			List[Any]												=       tgt_lang


			def __len__(   self   :     str):


						"""simple docstring"""




						return len(self.src_lens)


			def __getitem__(   self   :     Optional[Any]   ,	UpperCamelCase_   :     Any):


						"""simple docstring"""




						__UpperCAmelCase						:			int												=       index + 1  # linecache starts at 1
						__UpperCAmelCase						:			Any												=       self.prefix + linecache.getline(str(self.src_file)   ,	UpperCamelCase_).rstrip("\n")
						__UpperCAmelCase						:			Dict												=       linecache.getline(str(self.tgt_file)   ,	UpperCamelCase_).rstrip("\n")
						assert source_line, F"empty source line for index {index}"
						assert tgt_line, F"empty tgt line for index {index}"

						# Need to add eos token manually for T5
						if isinstance(self.tokenizer   ,	UpperCamelCase_):
									source_line += self.tokenizer.eos_token
									tgt_line += self.tokenizer.eos_token

						# Pad source and target to the right
						__UpperCAmelCase						:			Dict												=       (
						    self.tokenizer.question_encoder if isinstance(self.tokenizer   ,	UpperCamelCase_) else self.tokenizer
						)
						__UpperCAmelCase						:			Dict												=       self.tokenizer.generator if isinstance(self.tokenizer   ,	UpperCamelCase_) else self.tokenizer

						__UpperCAmelCase						:			List[str]												=       encode_line(UpperCamelCase_   ,	UpperCamelCase_   ,	self.max_source_length   ,	"right")
						__UpperCAmelCase						:			List[str]												=       encode_line(UpperCamelCase_   ,	UpperCamelCase_   ,	self.max_target_length   ,	"right")

						__UpperCAmelCase						:			str												=       source_inputs["input_ids"].squeeze()
						__UpperCAmelCase						:			Optional[Any]												=       target_inputs["input_ids"].squeeze()
						__UpperCAmelCase						:			Any												=       source_inputs["attention_mask"].squeeze()
						return {
						    "input_ids": source_ids,
						    "attention_mask": src_mask,
						    "decoder_input_ids": target_ids,
						}


			@staticmethod
			def    a_  (   UpperCamelCase_   :     Tuple):


						"""simple docstring"""




						return [len(UpperCamelCase_) for x in Path(UpperCamelCase_).open().readlines()]


			def    a_  (   self   :     Dict   ,	UpperCamelCase_   :     Union[str, Any]):


						"""simple docstring"""




						__UpperCAmelCase						:			str												=       torch.stack([x["input_ids"] for x in batch])
						__UpperCAmelCase						:			List[str]												=       torch.stack([x["attention_mask"] for x in batch])
						__UpperCAmelCase						:			Dict												=       torch.stack([x["decoder_input_ids"] for x in batch])
						__UpperCAmelCase						:			int												=       (
						    self.tokenizer.generator.pad_token_id
						    if isinstance(self.tokenizer   ,	UpperCamelCase_)
						    else self.tokenizer.pad_token_id
						)
						__UpperCAmelCase						:			List[Any]												=       (
						    self.tokenizer.question_encoder.pad_token_id
						    if isinstance(self.tokenizer   ,	UpperCamelCase_)
						    else self.tokenizer.pad_token_id
						)
						__UpperCAmelCase						:			str												=       trim_batch(UpperCamelCase_   ,	UpperCamelCase_)
						__UpperCAmelCase						,  __UpperCAmelCase						:			Dict												=       trim_batch(UpperCamelCase_   ,	UpperCamelCase_   ,	attention_mask=UpperCamelCase_)
						__UpperCAmelCase						:			str												=       {
						    "input_ids": source_ids,
						    "attention_mask": source_mask,
						    "decoder_input_ids": y,
						}
						return batch






A				=							getLogger(__name__)

def        _UpperCamelCase     (      UpperCamelCase				)      ->      Optional[int]:


			"""simple docstring"""
			return list(itertools.chain.from_iterable(UpperCamelCase				)				)

def        _UpperCamelCase     (      UpperCamelCase				)      ->      None:


			"""simple docstring"""
			__UpperCAmelCase						:			List[Any]												=       get_git_info()
			save_json(UpperCamelCase					,							os.path.join(UpperCamelCase					,							"git_log.json"				)				)

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase=4					,							**UpperCamelCase				)      ->      Dict:


			"""simple docstring"""
			with open(UpperCamelCase					,							"w"				) as f:
						json.dump(UpperCamelCase					,							UpperCamelCase					,							indent=UpperCamelCase					,							**UpperCamelCase				)

def        _UpperCamelCase     (      UpperCamelCase				)      ->      int:


			"""simple docstring"""
			with open(UpperCamelCase				) as f:
						return json.load(UpperCamelCase				)

def        _UpperCamelCase     (      )      ->      Union[str, Any]:


			"""simple docstring"""
			__UpperCAmelCase						:			List[str]												=       git.Repo(search_parent_directories=UpperCamelCase				)
			__UpperCAmelCase						:			Any												=       {
			    "repo_id": str(UpperCamelCase				),
			    "repo_sha": str(repo.head.object.hexsha				),
			    "repo_branch": str(repo.active_branch				),
			    "hostname": str(socket.gethostname()				),
			}
			return repo_infos

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase				)      ->      List:


			"""simple docstring"""
			return list(map(UpperCamelCase					,							UpperCamelCase				)				)

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase				)      ->      Union[str, Any]:


			"""simple docstring"""
			with open(UpperCamelCase					,							"wb"				) as f:
						return pickle.dump(UpperCamelCase					,							UpperCamelCase				)

def        _UpperCamelCase     (      UpperCamelCase				)      ->      Optional[int]:


			"""simple docstring"""

			def remove_articles(UpperCamelCase				):
						return re.sub(R"\b(a|an|the)\b"					,							" "					,							UpperCamelCase				)

			def white_space_fix(UpperCamelCase				):
						return " ".join(text.split()				)

			def remove_punc(UpperCamelCase				):
						__UpperCAmelCase						:			Optional[Any]												=       set(string.punctuation				)
						return "".join(ch for ch in text if ch not in exclude				)

			def lower(UpperCamelCase				):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(UpperCamelCase				)				)				)				)

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase				)      ->      int:


			"""simple docstring"""
			__UpperCAmelCase						:			Optional[int]												=       normalize_answer(UpperCamelCase				).split()
			__UpperCAmelCase						:			Tuple												=       normalize_answer(UpperCamelCase				).split()
			__UpperCAmelCase						:			Union[str, Any]												=       Counter(UpperCamelCase				) & Counter(UpperCamelCase				)
			__UpperCAmelCase						:			str												=       sum(common.values()				)
			if num_same == 0:
						return 0
			__UpperCAmelCase						:			Any												=       1.0 * num_same / len(UpperCamelCase				)
			__UpperCAmelCase						:			List[str]												=       1.0 * num_same / len(UpperCamelCase				)
			__UpperCAmelCase						:			Tuple												=       (2 * precision * recall) / (precision + recall)
			return fa

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase				)      ->      List[str]:


			"""simple docstring"""
			return normalize_answer(UpperCamelCase				) == normalize_answer(UpperCamelCase				)

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase				)      ->      Dict:


			"""simple docstring"""
			assert len(UpperCamelCase				) == len(UpperCamelCase				)
			__UpperCAmelCase						:			Union[str, Any]												=       0
			for hypo, pred in zip(UpperCamelCase					,							UpperCamelCase				):
						em += exact_match_score(UpperCamelCase					,							UpperCamelCase				)
			if len(UpperCamelCase				) > 0:
						em /= len(UpperCamelCase				)
			return {"em": em}

def        _UpperCamelCase     (      UpperCamelCase				)      ->      Tuple:


			"""simple docstring"""
			return model_prefix.startswith("rag"				)





def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase				)      ->      Optional[Any]:


			"""simple docstring"""
			__UpperCAmelCase						:			Union[str, Any]												=       {p: p for p in extra_params}
			# T5 models don't have `dropout` param, they have `dropout_rate` instead
			__UpperCAmelCase						:			Optional[int]												=       "dropout_rate"
			for p in extra_params:
						if getattr(UpperCamelCase					,							UpperCamelCase					,							UpperCamelCase				):
									if not hasattr(UpperCamelCase					,							UpperCamelCase				) and not hasattr(UpperCamelCase					,							equivalent_param[p]				):
												logger.info("config doesn't have a `{}` attribute".format(UpperCamelCase				)				)
												delattr(UpperCamelCase					,							UpperCamelCase				)
												continue
									__UpperCAmelCase						:			List[Any]												=       p if hasattr(UpperCamelCase					,							UpperCamelCase				) else equivalent_param[p]
									setattr(UpperCamelCase					,							UpperCamelCase					,							getattr(UpperCamelCase					,							UpperCamelCase				)				)
									delattr(UpperCamelCase					,							UpperCamelCase				)
			return hparams, config










"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						int = 10						,							_lowerCamelCase			:						int = 1000						,							_lowerCamelCase			:						bool = True					) ->							int:
  assert (
      isinstance(_lowerCamelCase						,							_lowerCamelCase					)
      and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
      and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
  ), "Invalid type of value(s) specified to function!"

  if min_val > max_val:
    raise ValueError('Invalid value for min_val or max_val (min_value < max_value)'					)
  return min_val if option else max_val







def 	lowerCamelCase__			(				_lowerCamelCase			:						int						,							_lowerCamelCase			:						int					) ->							int:
  return int((number_a + number_a) / 2					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						int						,							_lowerCamelCase			:						int						,							_lowerCamelCase			:						int					) ->							None:
  assert (
      isinstance(_lowerCamelCase						,							_lowerCamelCase					) and isinstance(_lowerCamelCase						,							_lowerCamelCase					) and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
  ), 'argument values must be type of "int"'

  if lower > higher:
    raise ValueError('argument value for lower and higher must be(lower > higher)'					)

  if not lower < to_guess < higher:
    raise ValueError(
        'guess value must be within the range of lower and higher value'					)

  def answer(_lowerCamelCase			:						int					) -> str:
    if number > to_guess:
      return "high"
    elif number < to_guess:
      return "low"
    else:
      return "same"

  print('started...'					)

  lowerCamelCase_       	=		lower
  lowerCamelCase_       	=		higher

  lowerCamelCase_       	=		[]

  while True:
    lowerCamelCase_       	=		get_avg(_lowerCamelCase						,							_lowerCamelCase					)
    last_numbers.append(_lowerCamelCase					)

    if answer(_lowerCamelCase					) == "low":
      lowerCamelCase_       	=		number
    elif answer(_lowerCamelCase					) == "high":
      lowerCamelCase_       	=		number
    else:
      break

  print(F'''guess the number : {last_numbers[-1]}'''					)
  print(F'''details : {last_numbers!s}'''					)







def 	lowerCamelCase__			(				) ->							None:
  lowerCamelCase_       	=		int(input('Enter lower value : '					).strip()					)
  lowerCamelCase_       	=		int(input('Enter high value : '					).strip()					)
  lowerCamelCase_       	=		int(input('Enter value to guess : '					).strip()					)
  guess_the_number(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)


if __name__ == "__main__":
  main()




